Search Results for author:
Found 7 papers, 5 papers with code
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Self-supervised visual pretraining has shown significant progress recently.
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog
Audio Visual Scene-aware Dialog (AVSD) is a task to generate responses when discussing about a given video.
DiDiSpeech: A Large Scale Mandarin Speech Corpus
This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech.
Audio and Speech Processing
A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition
In this paper, we conduct a further study on MPC and focus on three important aspects: the effect of pre-training data speaking style, its extension on streaming model, and how to better transfer learned knowledge from pre-training stage to downstream tasks.
TCT: A Cross-supervised Learning Method for Multimodal Sequence Representation
Multimodalities provide promising performance than unimodality in most tasks.
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Speech recognition technologies are gaining enormous popularity in various industrial applications.
